# IIIEDU-BDSE18 Introduction to Deep Learning
本頁連結: https://bit.ly/3oyWRrN

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## 資料下載
* 2021/05/19
* [[Notebook 6-9]](http://211.75.15.15:19201/physioNet-data.tar.gz)
* [[PhysioNet資料集]](http://211.75.15.15:19201/notebooks_20210519.tar.gz)

## 補充投影片

* 驗證資料有參與模型選擇，所以不適合用來做最後模型確效使用。
* 訓練用和驗證用資料的背景雜訊較簡單，而測試用可以選擇背景雜訊較困難 -> 確立模型是否能推廣到其他更複雜的場景。

## 範例程式碼
* [01-PytAutoGradForLinearRegression](http://211.75.15.15:19201/01-PytAutoGradForLinearRegression.html)
* [02-BasicLayersDenseConvMaxpooling](http://211.75.15.15:19201/02-BasicLayersDenseConvMaxpooling.html)
* [02-Supp-MLPFromScratch](http://211.75.15.15:19201/02-Supp-MLPFromScratch.html)

2021/05/19
* [03-TorchMNIST](http://211.75.15.15:19201/03-TorchMNIST.html)
* [04-InceptionAndVGG](http://211.75.15.15:19201/04-InceptionAndVGG.html)

2021/05/20
* [02-Supp-MLPFromScratch-nnModule](http://211.75.15.15:19201/02-Supp-MLPFromScratch-nnModule.html)
* [07-KerasSimpleRNNManyToOne](http://211.75.15.15:19201/07-KerasSimpleRNNManyToOne.html)

2021/05/22
* [08-KerasSimpleRNNManyToMany](http://211.75.15.15:19201/08-KerasSimpleRNNManyToMany.html)
* [09-KerasLSTMSurvivalPredICU](http://211.75.15.15:19201/09-KerasLSTMSurvivalPredICU.html)

## 補充資訊
* Python Machine Learning 課本的[筆記本教材](https://github.com/rasbt/python-machine-learning-book-2nd-edition)
* Stanford CS231 [[Convolution layer]](https://cs231n.github.io/convolutional-networks/)
* The BatchNorm Layer [[TF Keras API]](https://keras.io/api/layers/normalization_layers/batch_normalization/) [[PyTorch API]](https://pytorch.org/docs/stable/generated/torch.nn.BatchNorm2d.html)

## 環境設定
1. 設定NVSMI (看NVIDIA DRIVER有沒有裝好)
1. 將```C:\Program Files\NVIDIA Corporation\NVSMI```加入System ```PATH```
2. 加入後, 開啟終端機(如GIT BASH), 然後輸入```nvidia-smi.exe```, 按Enter, 即可顯示出GPU使用率等資訊
2. 安裝PyTorch
https://pytorch.org/get-started/locally/

安裝好後, 執行python, 然後載入PyTorch並且嘗試看能否印出PyTorch版本:

   import torch
   print(torch.__version__)

3. 安裝TensorFlow: https://www.tensorflow.org/install/gpu?hl=zh-tw

   import tensorflow as tf
   print(tf.__version__)

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請安裝Anaconda後，加裝如下套件:
* 基本套件

    pip install pandas matplotlib seaborn numpy scipy

* 機器學習套件

    pip install sklearn

* 其它套件

    pip install pillow graphviz
    pip install mlxtend
    pip install numexpr

    conda install -y shapely
    pip install imgaug opencv-python==4.4.0.46

    pip install jupyterlab

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